Source Integrity & Data Ingestion
Every forecasting project begins with a data integrity audit performed at the source level. In Hanoi, our engineering teams ensure that raw datasets are scrubbed for missing values or inconsistent formatting that could skew final analytics results.
We prioritize the 'Hold-out' validation technique, where models are tested against known historical outcomes. This prevents the 'overfitting' trap—a common failure where a model performs perfectly on past data but lacks the predictive insights required for future market shifts.